Darko Zikic

8.4k total citations
38 papers, 1.3k citations indexed

About

Darko Zikic is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Computational Mechanics. According to data from OpenAlex, Darko Zikic has authored 38 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Computer Vision and Pattern Recognition, 10 papers in Aerospace Engineering and 7 papers in Computational Mechanics. Recurrent topics in Darko Zikic's work include Medical Image Segmentation Techniques (22 papers), Robotics and Sensor-Based Localization (10 papers) and Advanced Vision and Imaging (8 papers). Darko Zikic is often cited by papers focused on Medical Image Segmentation Techniques (22 papers), Robotics and Sensor-Based Localization (10 papers) and Advanced Vision and Imaging (8 papers). Darko Zikic collaborates with scholars based in United States, Germany and United Kingdom. Darko Zikic's co-authors include Antonio Criminisi, Ben Glocker, Ender Konukoğlu, Nassir Navab, Yani Ioannou, Matthew A. Brown, Martin Groher, David R. Haynor, Owen Thomas and Jamie Shotton and has published in prestigious journals such as NeuroImage, IEEE Transactions on Medical Imaging and Biochemical Pharmacology.

In The Last Decade

Darko Zikic

38 papers receiving 1.3k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Darko Zikic United States 18 777 484 345 263 188 38 1.3k
Fucang Jia China 23 547 0.7× 529 1.1× 236 0.7× 291 1.1× 238 1.3× 85 1.6k
Olivier Commowick France 24 693 0.9× 787 1.6× 175 0.5× 292 1.1× 166 0.9× 73 1.7k
Ali Hatamizadeh United States 9 1.1k 1.4× 810 1.7× 444 1.3× 344 1.3× 715 3.8× 14 2.0k
Dewey Odhner United States 20 768 1.0× 497 1.0× 116 0.3× 429 1.6× 154 0.8× 86 1.5k
B. Likar Slovenia 12 1.1k 1.4× 781 1.6× 118 0.3× 487 1.9× 133 0.7× 20 1.9k
Shun Miao United States 16 524 0.7× 456 0.9× 57 0.2× 416 1.6× 197 1.0× 41 1.2k
Tom Doel United Kingdom 10 681 0.9× 668 1.4× 229 0.7× 223 0.8× 504 2.7× 16 1.7k
Dirk Loeckx Belgium 21 490 0.6× 580 1.2× 61 0.2× 288 1.1× 146 0.8× 67 1.4k
Ali Gooya United Kingdom 17 462 0.6× 540 1.1× 144 0.4× 228 0.9× 160 0.9× 50 1.1k
Seyed‐Ahmad Ahmadi Germany 18 339 0.4× 304 0.6× 220 0.6× 190 0.7× 180 1.0× 48 1.2k

Countries citing papers authored by Darko Zikic

Since Specialization
Citations

This map shows the geographic impact of Darko Zikic's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Darko Zikic with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Darko Zikic more than expected).

Fields of papers citing papers by Darko Zikic

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Darko Zikic. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Darko Zikic. The network helps show where Darko Zikic may publish in the future.

Co-authorship network of co-authors of Darko Zikic

This figure shows the co-authorship network connecting the top 25 collaborators of Darko Zikic. A scholar is included among the top collaborators of Darko Zikic based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Darko Zikic. Darko Zikic is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Ioannou, Yani, Duncan Robertson, Darko Zikic, et al.. (2016). Decision Forests, Convolutional Networks and the Models in-Between Microsoft Research Technical Report 2015-58. 1 indexed citations
2.
Zikic, Darko, Ben Glocker, & Antonio Criminisi. (2014). Encoding atlases by randomized classification forests for efficient multi-atlas label propagation. Medical Image Analysis. 18(8). 1262–1273. 52 indexed citations
3.
Alexander, Daniel C., Darko Zikic, Jiaying Zhang, Hui Zhang, & Antonio Criminisi. (2014). Image Quality Transfer via Random Forest Regression: Applications in Diffusion MRI. Lecture notes in computer science. 17(Pt 3). 225–232. 63 indexed citations
4.
Glocker, Ben, Darko Zikic, Ender Konukoğlu, David R. Haynor, & Antonio Criminisi. (2013). Vertebrae Localization in Pathological Spine CT via Dense Classification from Sparse Annotations. Lecture notes in computer science. 16(Pt 2). 262–270. 101 indexed citations
5.
Konukoğlu, Ender, Ben Glocker, Darko Zikic, & Antonio Criminisi. (2013). Neighbourhood approximation using randomized forests. Medical Image Analysis. 17(7). 790–804. 39 indexed citations
6.
Iglesias, Juan Eugenio, Ender Konukoğlu, Darko Zikic, et al.. (2013). Is Synthesizing MRI Contrast Useful for Inter-modality Analysis?. Lecture notes in computer science. 16(Pt 1). 631–638. 83 indexed citations
7.
Zikic, Darko, Ben Glocker, & Antonio Criminisi. (2013). Atlas Encoding by Randomized Forests for Efficient Label Propagation. Lecture notes in computer science. 16(Pt 3). 66–73. 36 indexed citations
8.
Zikic, Darko, Ben Glocker, Ender Konukoğlu, et al.. (2012). Context-sensitive Classication Forests for Segmentation of Brain Tumor Tissues. Biochemical Pharmacology. 201. 115075–115075. 42 indexed citations
9.
Konukoğlu, Ender, Ben Glocker, Darko Zikic, & Antonio Criminisi. (2012). Neighbourhood Approximation Forests. Lecture notes in computer science. 15(Pt 3). 75–82. 10 indexed citations
10.
Zikic, Darko, Ben Glocker, Oliver Kutter, et al.. (2010). Linear intensity-based image registration by Markov random fields and discrete optimization. Medical Image Analysis. 14(4). 550–562. 31 indexed citations
11.
Wein, Wolfgang, Oliver Kutter, André Aichert, et al.. (2010). Automatic non-linear mapping of pre-procedure CT volumes to 3D ultrasound. 1225–1228. 7 indexed citations
12.
Zikic, Darko, Ali Kamen, & Nassir Navab. (2010). Natural gradients for deformable registration. 2847–2854. 1 indexed citations
13.
Zikic, Darko, Ben Glocker, Oliver Kutter, et al.. (2010). Markov random field optimization for intensity-based 2D-3D registration. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7623. 762334–762334. 9 indexed citations
14.
Groher, Martin, Darko Zikic, & Nassir Navab. (2009). Deformable 2D-3D Registration of Vascular Structures in a One View Scenario. IEEE Transactions on Medical Imaging. 28(6). 847–860. 60 indexed citations
15.
Khamene, Ali, et al.. (2009). A Novel Intensity Similarity Metric with Soft Spatial Constraint for a Deformable Image Registration Problem in Radiation Therapy. Lecture notes in computer science. 12(Pt 1). 828–836. 4 indexed citations
16.
Zikic, Darko, Martin Groher, Ali Khamene, & Nassir Navab. (2008). Deformable registration of 3D vessel structures to a single projection image. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 6914. 691412–691412. 11 indexed citations
17.
Zikic, Darko, et al.. (2007). A New and General Method for Blind Shift-Variant Deconvolution of Biomedical Images. Lecture notes in computer science. 10(Pt 1). 743–750. 11 indexed citations
18.
Martínez-Möller, Axel, Darko Zikic, René M. Botnar, et al.. (2007). Dual cardiac–respiratory gated PET: implementation and results from a feasibility study. European Journal of Nuclear Medicine and Molecular Imaging. 34(9). 1447–1454. 107 indexed citations
19.
Khamene, Ali, Fred S. Azar, Loren Schwarz, et al.. (2007). A Unified and Efficient Approach for Free-form Deformable Registration. 12. 1–8. 2 indexed citations
20.
Zikic, Darko, Wolfgang Wein, Ali Khamene, Dirk‐André Clevert, & Nassir Navab. (2006). Fast Deformable Registration of 3D-Ultrasound Data Using a Variational Approach. Lecture notes in computer science. 9(Pt 1). 915–923. 37 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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